You lead the integration of AI into engineering processes, focusing on automation, tool deployment, and educating teams about AI-driven productivity models.
Anforderungen
- •5+ years in AI/ML engineering
- •Experience deploying AI/LLM agents
- •Strong understanding of LangChain
- •Experience from AI-native companies
- •Capable of owning AI adoption strategy
Deine Aufgaben
- •Identify engineering processes for AI automation.
- •Deploy AI tools into daily development workflows.
- •Collaborate with DevOps to automate onboarding and support.
- •Partner with Internal Auditor to assess automation ROI.
- •Build AI-first internal applications and tools.
- •Provide technical leadership on AI integration.
- •Educate engineering leaders on AI delivery models.
Original Beschreibung
## Head of AI Enablement
We are currently seeking a VP of Engineering to join one of our **clients**' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.
**Responsibilities:**
● Identify all engineering processes suitable for AI automation
(requirements, design, coding, testing, deployment)
● Deploy OpenAI Codex, ChatGPT Enterprise, Claude, OpenRouter, and
RAG-based toolchains into daily dev workflows
● Collaborate with DevOps and Head of SaaS to automate onboarding,
support, and configuration steps
● Partner with Internal Auditor to measure performance uplift and
automation ROI
● Build AI-first internal apps: prompt libraries, RAG knowledge bots, test
generators, doc writers
● Provide technical leadership on AI/LLM integration: APIs, inference
cost, prompt engineering
● Educate engineering leaders on AI-first delivery models and productivity
playbooks
## Requirements
● 5+ years in AI/ML engineering or Dev Tooling (AI-focused)
● Experience deploying AI/LLM agents into real-world product/dev orgs
● Strong understanding of LangChain, OpenRouter, RAG pipelines,
OpenWebUI
● Experience from AI-native companies like Replit, Notion, OpenAI,
HuggingFace, Retool
● Capable of owning AI adoption strategy and executing hands-on